Multi-Objective Optimisation of Hot Forging Processes using a Genetic Algorithm

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2010

Autores

C. F. Castro (Autor) FEUP; C. C. António (Autor) FEUP; L. C. Sousa (Autor) FEUP

Ata de Conferência Internacional

Título: Proceedings of The Tenth International Conference on Computational Structures Technology

Páginas: 1-11

The Tenth International Conference on Computational Structures Technology

Valencia-Spain, 14 a 17 de Setembro de 2010

Indexação

ISI Proceedings

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias

CORDIS: Ciências Tecnológicas

Outras Informações

ID Authenticus: P-009-5RK

Abstract (EN): Searching for good design solutions within the industrial forging environment is necessary to improve the quality and overall productivity of the processes. Multi-objective optimisation design for multi-stage processes is a complex problem involving large number of design variables and sequential relationships between any two stages. The aim of this paper is to propose a novel framework to handle real-life hot forging optimisation problems considering a genetic algorithm based technique. A Pareto-based multi-objective optimisation model for multi-stage hot forging processes is developed. Using a case study of a two stage forging upsetting, the algorithm has been able to converge to the Pareto front identifying near optimal designs for the forging process.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Notas: Livro de resumos: paper 129; CD-ROM: 11 páginas

Nº de páginas: 11